Pandas Profiling Report

Dataset statistics

Number of variables	32
Number of observations	5500
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	288.0 B

Variable types

Categorical	12
Numeric	20

Alerts

`device_fraud_count` has constant value "0"	Constant
`foreign_request` is highly imbalanced (76.8%)	Imbalance
`source` is highly imbalanced (92.8%)	Imbalance
`device_distinct_emails_8w` is highly imbalanced (80.3%)	Imbalance
`name_email_similarity` has unique values	Unique
`velocity_6h` has unique values	Unique
`velocity_24h` has unique values	Unique
`velocity_4w` has unique values	Unique
`bank_branch_count_8w` has 1018 (18.5%) zeros	Zeros
`employment_status` has 4203 (76.4%) zeros	Zeros
`housing_status` has 2093 (38.1%) zeros	Zeros
`month` has 734 (13.3%) zeros	Zeros

Reproduction

Analysis started	2023-07-17 08:04:24.475252
Analysis finished	2023-07-17 08:05:13.569157
Duration	49.09 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

fraud_bool
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	2786
1	2714

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2786	50.7%
1	2714	49.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2786	50.7%
1	2714	49.3%

Most occurring characters

Value	Count	Frequency (%)
0	2786	50.7%
1	2714	49.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2786	50.7%
1	2714	49.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2786	50.7%
1	2714	49.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2786	50.7%
1	2714	49.3%

income
Real number (ℝ)

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.61836364

Minimum	0.1
Maximum	0.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.1
Q1	0.4
median	0.7
Q3	0.9
95-th percentile	0.9
Maximum	0.9
Range	0.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.28821972
Coefficient of variation (CV)	0.4661007
Kurtosis	-1.0046293
Mean	0.61836364
Median Absolute Deviation (MAD)	0.2
Skewness	-0.66584812
Sum	3401
Variance	0.083070608
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0.9	1778	32.3%
0.8	769	14.0%
0.1	710	12.9%
0.6	547	9.9%
0.7	540	9.8%
0.4	357	6.5%
0.2	305	5.5%
0.5	282	5.1%
0.3	212	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	710	12.9%
0.2	305	5.5%
0.3	212	3.9%
0.4	357	6.5%
0.5	282	5.1%
0.6	547	9.9%
0.7	540	9.8%
0.8	769	14.0%
0.9	1778	32.3%

Value	Count	Frequency (%)
0.9	1778	32.3%
0.8	769	14.0%
0.7	540	9.8%
0.6	547	9.9%
0.5	282	5.1%
0.4	357	6.5%
0.3	212	3.9%
0.2	305	5.5%
0.1	710	12.9%

name_email_similarity
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.44950882

Minimum	0.00033963888
Maximum	0.99995321
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0.00033963888
5-th percentile	0.056198743
Q1	0.16953128
median	0.41734135
Q3	0.72415984
95-th percentile	0.90509819
Maximum	0.99995321
Range	0.99961357
Interquartile range (IQR)	0.55462856

Descriptive statistics

Standard deviation	0.29549148
Coefficient of variation (CV)	0.65736526
Kurtosis	-1.3286916
Mean	0.44950882
Median Absolute Deviation (MAD)	0.2706613
Skewness	0.21908755
Sum	2472.2985
Variance	0.087315218
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1135986114	1	< 0.1%
0.8473376745	1	< 0.1%
0.1703692725	1	< 0.1%
0.7496820908	1	< 0.1%
0.4120443429	1	< 0.1%
0.3590355492	1	< 0.1%
0.4213629425	1	< 0.1%
0.607641557	1	< 0.1%
0.7466242621	1	< 0.1%
0.535549258	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0003396388756	1	< 0.1%
0.0004115615811	1	< 0.1%
0.001378701092	1	< 0.1%
0.00161019191	1	< 0.1%
0.002719439667	1	< 0.1%
0.002736811317	1	< 0.1%
0.003126485944	1	< 0.1%
0.003246608194	1	< 0.1%
0.003498198554	1	< 0.1%
0.003624020878	1	< 0.1%

Value	Count	Frequency (%)
0.9999532132	1	< 0.1%
0.9999132357	1	< 0.1%
0.9999059217	1	< 0.1%
0.9998552165	1	< 0.1%
0.9997802	1	< 0.1%
0.9997214691	1	< 0.1%
0.9996965367	1	< 0.1%
0.9995439576	1	< 0.1%
0.999534157	1	< 0.1%
0.9995267597	1	< 0.1%

prev_address_months_count
Real number (ℝ)

Distinct	204
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.924545

Minimum	-1
Maximum	350
Zeros	0
Zeros (%)	0.0%
Negative	4504
Negative (%)	81.9%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	89.05
Maximum	350
Range	351
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	41.017855
Coefficient of variation (CV)	3.4397835
Kurtosis	26.43965
Mean	11.924545
Median Absolute Deviation (MAD)	0
Skewness	4.7522581
Sum	65585
Variance	1682.4644
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	4504	81.9%
11	41	0.7%
29	33	0.6%
10	32	0.6%
32	29	0.5%
28	28	0.5%
31	28	0.5%
12	27	0.5%
30	26	0.5%
27	25	0.5%
Other values (194)	727	13.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	4504	81.9%
7	1	< 0.1%
8	6	0.1%
9	18	0.3%
10	32	0.6%
11	41	0.7%
12	27	0.5%
13	20	0.4%
14	3	0.1%
15	1	< 0.1%

Value	Count	Frequency (%)
350	1	< 0.1%
337	2	< 0.1%
336	1	< 0.1%
334	1	< 0.1%
333	1	< 0.1%
332	2	< 0.1%
330	1	< 0.1%
326	2	< 0.1%
324	1	< 0.1%
323	2	< 0.1%

current_address_months_count
Real number (ℝ)

Distinct	373
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.36891

Minimum	-1
Maximum	387
Zeros	40
Zeros (%)	0.7%
Negative	12
Negative (%)	0.2%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	5
Q1	36
median	75
Q3	146
95-th percentile	287.05
Maximum	387
Range	388
Interquartile range (IQR)	110

Descriptive statistics

Standard deviation	88.418081
Coefficient of variation (CV)	0.87224063
Kurtosis	1.0653166
Mean	101.36891
Median Absolute Deviation (MAD)	50
Skewness	1.2186786
Sum	557529
Variance	7817.7571
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	72	1.3%
6	72	1.3%
4	58	1.1%
8	54	1.0%
10	52	0.9%
39	50	0.9%
52	50	0.9%
9	50	0.9%
1	50	0.9%
3	49	0.9%
Other values (363)	4943	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	12	0.2%
0	40	0.7%
1	50	0.9%
2	46	0.8%
3	49	0.9%
4	58	1.1%
5	72	1.3%
6	72	1.3%
7	48	0.9%
8	54	1.0%

Value	Count	Frequency (%)
387	2	< 0.1%
386	2	< 0.1%
385	2	< 0.1%
383	3	0.1%
382	2	< 0.1%
381	2	< 0.1%
380	5	0.1%
379	3	0.1%
378	2	< 0.1%
377	5	0.1%

customer_age
Real number (ℝ)

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.483636

Minimum	10
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	10
5-th percentile	20
Q1	30
median	40
Q3	50
95-th percentile	60
Maximum	90
Range	80
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.106177
Coefficient of variation (CV)	0.34965063
Kurtosis	-0.28766018
Mean	37.483636
Median Absolute Deviation (MAD)	10
Skewness	0.30854397
Sum	206160
Variance	171.77187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
30	1447	26.3%
40	1390	25.3%
50	1131	20.6%
20	963	17.5%
60	391	7.1%
10	81	1.5%
70	70	1.3%
80	26	0.5%
90	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	81	1.5%
20	963	17.5%
30	1447	26.3%
40	1390	25.3%
50	1131	20.6%
60	391	7.1%
70	70	1.3%
80	26	0.5%
90	1	< 0.1%

Value	Count	Frequency (%)
90	1	< 0.1%
80	26	0.5%
70	70	1.3%
60	391	7.1%
50	1131	20.6%
40	1390	25.3%
30	1447	26.3%
20	963	17.5%
10	81	1.5%

days_since_request
Real number (ℝ)

Distinct	5499
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.94593694

Minimum	2.697941 × 10^-6
Maximum	75.829756
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	2.697941 × 10^-6
5-th percentile	0.0012692287
Q1	0.0063032418
median	0.013979299
Q3	0.024789744
95-th percentile	3.4570179
Maximum	75.829756
Range	75.829754
Interquartile range (IQR)	0.018486503

Descriptive statistics

Standard deviation	5.3517391
Coefficient of variation (CV)	5.6576067
Kurtosis	121.96545
Mean	0.94593694
Median Absolute Deviation (MAD)	0.0086620483
Skewness	10.12379
Sum	5202.6532
Variance	28.641112
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.01470116746	2	< 0.1%
0.01740596538	1	< 0.1%
0.01004920826	1	< 0.1%
0.01177630498	1	< 0.1%
0.01854820594	1	< 0.1%
0.01167674908	1	< 0.1%
0.008625558209	1	< 0.1%
0.004703332796	1	< 0.1%
0.01612254574	1	< 0.1%
0.03701241689	1	< 0.1%
Other values (5489)	5489	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.697941004 × 10^-6	1	< 0.1%
8.394471607 × 10^-6	1	< 0.1%
8.999457208 × 10^-6	1	< 0.1%
9.11273222 × 10^-6	1	< 0.1%
1.259373091 × 10^-5	1	< 0.1%
1.569768857 × 10^-5	1	< 0.1%
2.032235059 × 10^-5	1	< 0.1%
2.349440459 × 10^-5	1	< 0.1%
2.513921638 × 10^-5	1	< 0.1%
2.530129766 × 10^-5	1	< 0.1%

Value	Count	Frequency (%)
75.82975624	1	< 0.1%
75.49592131	1	< 0.1%
73.92562466	1	< 0.1%
72.92373743	1	< 0.1%
72.60659273	1	< 0.1%
71.98312145	1	< 0.1%
71.85110989	1	< 0.1%
71.84278559	1	< 0.1%
71.74582649	1	< 0.1%
71.55532456	1	< 0.1%

intended_balcon_amount
Real number (ℝ)

Distinct	5499
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.1568069

Minimum	-11.740377
Maximum	109.86996
Zeros	0
Zeros (%)	0.0%
Negative	4486
Negative (%)	81.6%
Memory size	85.9 KiB

Quantile statistics

Minimum	-11.740377
5-th percentile	-1.5822908
Q1	-1.1807301
median	-0.86538374
Q3	-0.45194807
95-th percentile	49.62118
Maximum	109.86996
Range	121.61033
Interquartile range (IQR)	0.72878201

Descriptive statistics

Standard deviation	18.106884
Coefficient of variation (CV)	2.9409537
Kurtosis	10.426904
Mean	6.1568069
Median Absolute Deviation (MAD)	0.35326368
Skewness	3.0649575
Sum	33862.438
Variance	327.85925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1.480971648	2	< 0.1%
-1.546016419	1	< 0.1%
32.01209322	1	< 0.1%
-0.631390477	1	< 0.1%
-0.7185656382	1	< 0.1%
-1.771774697	1	< 0.1%
-0.2243696952	1	< 0.1%
-0.9623697907	1	< 0.1%
-0.9067047202	1	< 0.1%
-0.9935020381	1	< 0.1%
Other values (5489)	5489	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-11.74037717	1	< 0.1%
-9.143508412	1	< 0.1%
-8.289799918	1	< 0.1%
-6.264140809	1	< 0.1%
-5.707535278	1	< 0.1%
-5.27927063	1	< 0.1%
-3.966403523	1	< 0.1%
-3.757374772	1	< 0.1%
-2.147438874	1	< 0.1%
-2.107363829	1	< 0.1%

Value	Count	Frequency (%)
109.8699573	1	< 0.1%
108.7857489	1	< 0.1%
108.5765987	1	< 0.1%
108.5554612	1	< 0.1%
108.4014015	1	< 0.1%
108.1021321	1	< 0.1%
107.4991144	1	< 0.1%
107.4714841	1	< 0.1%
107.3930297	1	< 0.1%
106.7108388	1	< 0.1%

payment_type
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	2056
2	1745
0	1048
3	651

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	2056	37.4%
2	1745	31.7%
0	1048	19.1%
3	651	11.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2056	37.4%
2	1745	31.7%
0	1048	19.1%
3	651	11.8%

Most occurring characters

Value	Count	Frequency (%)
1	2056	37.4%
2	1745	31.7%
0	1048	19.1%
3	651	11.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2056	37.4%
2	1745	31.7%
0	1048	19.1%
3	651	11.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2056	37.4%
2	1745	31.7%
0	1048	19.1%
3	651	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2056	37.4%
2	1745	31.7%
0	1048	19.1%
3	651	11.8%

zip_count_4w
Real number (ℝ)

Distinct	2569
Distinct (%)	46.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1603.7898

Minimum	18
Maximum	6027
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	18
5-th percentile	508.95
Q1	909
median	1297
Q3	2010
95-th percentile	3636
Maximum	6027
Range	6009
Interquartile range (IQR)	1101

Descriptive statistics

Standard deviation	1009.1014
Coefficient of variation (CV)	0.62919803
Kurtosis	1.9585907
Mean	1603.7898
Median Absolute Deviation (MAD)	475
Skewness	1.4004074
Sum	8820844
Variance	1018285.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
994	12	0.2%
1227	11	0.2%
1007	10	0.2%
822	10	0.2%
1159	9	0.2%
728	9	0.2%
885	9	0.2%
971	9	0.2%
1466	9	0.2%
1065	9	0.2%
Other values (2559)	5403	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	< 0.1%
29	1	< 0.1%
67	1	< 0.1%
75	1	< 0.1%
90	1	< 0.1%
92	1	< 0.1%
94	1	< 0.1%
99	1	< 0.1%
103	1	< 0.1%
105	1	< 0.1%

Value	Count	Frequency (%)
6027	1	< 0.1%
6013	1	< 0.1%
6007	1	< 0.1%
5982	1	< 0.1%
5921	1	< 0.1%
5905	1	< 0.1%
5894	1	< 0.1%
5836	1	< 0.1%
5812	2	< 0.1%
5785	1	< 0.1%

velocity_6h
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5413.6388

Minimum	68.669243
Maximum	16200.292
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	68.669243
5-th percentile	1169.0714
Q1	3117.4214
median	5075.3105
Q3	7457.5817
95-th percentile	10707.053
Maximum	16200.292
Range	16131.623
Interquartile range (IQR)	4340.1603

Descriptive statistics

Standard deviation	2994.3219
Coefficient of variation (CV)	0.55310707
Kurtosis	0.087750437
Mean	5413.6388
Median Absolute Deviation (MAD)	2171.8366
Skewness	0.59264513
Sum	29775013
Variance	8965963.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12185.50478	1	< 0.1%
8086.837173	1	< 0.1%
318.5248167	1	< 0.1%
3921.554639	1	< 0.1%
7849.431112	1	< 0.1%
4512.733724	1	< 0.1%
4717.713655	1	< 0.1%
1686.345876	1	< 0.1%
1730.932311	1	< 0.1%
5766.983778	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
68.66924336	1	< 0.1%
161.6651232	1	< 0.1%
177.1771203	1	< 0.1%
179.6870234	1	< 0.1%
194.1549504	1	< 0.1%
197.2774141	1	< 0.1%
206.4354988	1	< 0.1%
221.702255	1	< 0.1%
230.8654592	1	< 0.1%
281.8406927	1	< 0.1%

Value	Count	Frequency (%)
16200.29222	1	< 0.1%
15474.98509	1	< 0.1%
15415.78402	1	< 0.1%
15345.08195	1	< 0.1%
15270.06753	1	< 0.1%
15128.94742	1	< 0.1%
15127.60534	1	< 0.1%
15080.81441	1	< 0.1%
15069.02037	1	< 0.1%
15055.29609	1	< 0.1%

velocity_24h
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4694.7363

Minimum	1440.5683
Maximum	9307.0121
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	1440.5683
5-th percentile	2491.9882
Q1	3503.8754
median	4699.966
Q3	5681.7254
95-th percentile	7253.0797
Maximum	9307.0121
Range	7866.4438
Interquartile range (IQR)	2177.8501

Descriptive statistics

Standard deviation	1463.5054
Coefficient of variation (CV)	0.31173325
Kurtosis	-0.33864234
Mean	4694.7363
Median Absolute Deviation (MAD)	1080.023
Skewness	0.32122
Sum	25821050
Variance	2141848.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6087.249578	1	< 0.1%
4908.099607	1	< 0.1%
3058.052477	1	< 0.1%
3250.583422	1	< 0.1%
3602.880047	1	< 0.1%
4849.808632	1	< 0.1%
4596.579274	1	< 0.1%
5735.483006	1	< 0.1%
5557.298205	1	< 0.1%
3646.737932	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1440.568313	1	< 0.1%
1470.581521	1	< 0.1%
1641.734061	1	< 0.1%
1656.756847	1	< 0.1%
1662.85679	1	< 0.1%
1683.979983	1	< 0.1%
1721.157819	1	< 0.1%
1722.800523	1	< 0.1%
1724.914174	1	< 0.1%
1732.693905	1	< 0.1%

Value	Count	Frequency (%)
9307.012145	1	< 0.1%
9172.107906	1	< 0.1%
9146.618796	1	< 0.1%
9145.979832	1	< 0.1%
9136.625743	1	< 0.1%
9133.950541	1	< 0.1%
9082.798542	1	< 0.1%
9065.243221	1	< 0.1%
9065.118275	1	< 0.1%
9049.808917	1	< 0.1%

velocity_4w
Real number (ℝ)

Distinct	5500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4808.57

Minimum	2967.3765
Maximum	6919.17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	2967.3765
5-th percentile	3107.8514
Q1	4231.3696
median	4870.2859
Q3	5449.6539
95-th percentile	6600.6224
Maximum	6919.17
Range	3951.7935
Interquartile range (IQR)	1218.2842

Descriptive statistics

Standard deviation	949.37744
Coefficient of variation (CV)	0.19743446
Kurtosis	-0.44254466
Mean	4808.57
Median Absolute Deviation (MAD)	620.92462
Skewness	0.024825132
Sum	26447135
Variance	901317.52
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5990.732491	1	< 0.1%
5334.987836	1	< 0.1%
3326.265866	1	< 0.1%
3467.2048	1	< 0.1%
6088.534971	1	< 0.1%
6720.204893	1	< 0.1%
4422.437518	1	< 0.1%
3884.803713	1	< 0.1%
4870.057854	1	< 0.1%
3140.502201	1	< 0.1%
Other values (5490)	5490	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2967.376507	1	< 0.1%
2986.195447	1	< 0.1%
3003.744211	1	< 0.1%
3004.670722	1	< 0.1%
3008.456035	1	< 0.1%
3009.326734	1	< 0.1%
3013.061076	1	< 0.1%
3015.730706	1	< 0.1%
3017.090116	1	< 0.1%
3020.801253	1	< 0.1%

Value	Count	Frequency (%)
6919.170045	1	< 0.1%
6880.285858	1	< 0.1%
6871.180277	1	< 0.1%
6850.283342	1	< 0.1%
6849.30575	1	< 0.1%
6849.134853	1	< 0.1%
6844.282607	1	< 0.1%
6842.196871	1	< 0.1%
6839.195877	1	< 0.1%
6838.784656	1	< 0.1%

bank_branch_count_8w
Real number (ℝ)

Distinct	692
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	157.21709

Minimum	0
Maximum	2306
Zeros	1018
Zeros (%)	18.5%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	7
Q3	18
95-th percentile	1404.1
Maximum	2306
Range	2306
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	431.24321
Coefficient of variation (CV)	2.7429792
Kurtosis	8.4792649
Mean	157.21709
Median Absolute Deviation (MAD)	7
Skewness	3.0661601
Sum	864694
Variance	185970.71
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1025	18.6%
0	1018	18.5%
2	352	6.4%
11	172	3.1%
12	159	2.9%
10	149	2.7%
13	146	2.7%
8	132	2.4%
9	125	2.3%
7	123	2.2%
Other values (682)	2099	38.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1018	18.5%
1	1025	18.6%
2	352	6.4%
3	72	1.3%
4	69	1.3%
5	62	1.1%
6	89	1.6%
7	123	2.2%
8	132	2.4%
9	125	2.3%

Value	Count	Frequency (%)
2306	1	< 0.1%
2266	1	< 0.1%
2258	1	< 0.1%
2209	1	< 0.1%
2182	1	< 0.1%
2179	1	< 0.1%
2165	1	< 0.1%
2152	1	< 0.1%
2148	1	< 0.1%
2147	1	< 0.1%

date_of_birth_distinct_emails_4w
Real number (ℝ)

Distinct	34
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.4185455

Minimum	0
Maximum	36
Zeros	22
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	8
Q3	11
95-th percentile	18
Maximum	36
Range	36
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.0553314
Coefficient of variation (CV)	0.60049939
Kurtosis	0.69141167
Mean	8.4185455
Median Absolute Deviation (MAD)	3
Skewness	0.8210484
Sum	46302
Variance	25.556375
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
7	469	8.5%
5	465	8.5%
8	460	8.4%
6	428	7.8%
2	401	7.3%
4	375	6.8%
9	373	6.8%
11	330	6.0%
3	329	6.0%
10	306	5.6%
Other values (24)	1564	28.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	0.4%
1	191	3.5%
2	401	7.3%
3	329	6.0%
4	375	6.8%
5	465	8.5%
6	428	7.8%
7	469	8.5%
8	460	8.4%
9	373	6.8%

Value	Count	Frequency (%)
36	1	< 0.1%
32	2	< 0.1%
31	2	< 0.1%
30	2	< 0.1%
29	2	< 0.1%
28	3	0.1%
27	3	0.1%
26	4	0.1%
25	7	0.1%
24	11	0.2%

employment_status
Real number (ℝ)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.48727273

Minimum	0
Maximum	6
Zeros	4203
Zeros (%)	76.4%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.1015132
Coefficient of variation (CV)	2.2605682
Kurtosis	7.3788131
Mean	0.48727273
Median Absolute Deviation (MAD)	0
Skewness	2.7400254
Sum	2680
Variance	1.2133313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	4203	76.4%
1	625	11.4%
2	349	6.3%
5	158	2.9%
3	99	1.8%
4	63	1.1%
6	3	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4203	76.4%
1	625	11.4%
2	349	6.3%
3	99	1.8%
4	63	1.1%
5	158	2.9%
6	3	0.1%

Value	Count	Frequency (%)
6	3	0.1%
5	158	2.9%
4	63	1.1%
3	99	1.8%
2	349	6.3%
1	625	11.4%
0	4203	76.4%

credit_risk_score
Real number (ℝ)

Distinct	400
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	155.19473

Minimum	-122
Maximum	371
Zeros	3
Zeros (%)	0.1%
Negative	52
Negative (%)	0.9%
Memory size	85.9 KiB

Quantile statistics

Minimum	-122
5-th percentile	37.95
Q1	95
median	146
Q3	214
95-th percentile	295
Maximum	371
Range	493
Interquartile range (IQR)	119

Descriptive statistics

Standard deviation	79.848905
Coefficient of variation (CV)	0.51450785
Kurtosis	-0.48627814
Mean	155.19473
Median Absolute Deviation (MAD)	58
Skewness	0.19287276
Sum	853571
Variance	6375.8477
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
109	38	0.7%
92	36	0.7%
99	35	0.6%
128	35	0.6%
161	34	0.6%
104	33	0.6%
119	33	0.6%
127	32	0.6%
120	32	0.6%
108	31	0.6%
Other values (390)	5161	93.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-122	1	< 0.1%
-119	1	< 0.1%
-97	1	< 0.1%
-91	2	< 0.1%
-87	1	< 0.1%
-85	1	< 0.1%
-80	1	< 0.1%
-79	2	< 0.1%
-78	1	< 0.1%
-76	1	< 0.1%

Value	Count	Frequency (%)
371	1	< 0.1%
363	1	< 0.1%
361	1	< 0.1%
357	1	< 0.1%
356	1	< 0.1%
355	2	< 0.1%
354	1	< 0.1%
353	2	< 0.1%
352	1	< 0.1%
351	1	< 0.1%

email_is_free
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	3281
0	2219

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	3281	59.7%
0	2219	40.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	3281	59.7%
0	2219	40.3%

Most occurring characters

Value	Count	Frequency (%)
1	3281	59.7%
0	2219	40.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3281	59.7%
0	2219	40.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3281	59.7%
0	2219	40.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3281	59.7%
0	2219	40.3%

housing_status
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2812727

Minimum	0
Maximum	5
Zeros	2093
Zeros (%)	38.1%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2916191
Coefficient of variation (CV)	1.0080751
Kurtosis	-0.33112101
Mean	1.2812727
Median Absolute Deviation (MAD)	1
Skewness	0.76248663
Sum	7047
Variance	1.6682799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	2093	38.1%
2	1592	28.9%
1	1093	19.9%
4	588	10.7%
3	126	2.3%
5	8	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2093	38.1%
1	1093	19.9%
2	1592	28.9%
3	126	2.3%
4	588	10.7%
5	8	0.1%

Value	Count	Frequency (%)
5	8	0.1%
4	588	10.7%
3	126	2.3%
2	1592	28.9%
1	1093	19.9%
0	2093	38.1%

phone_home_valid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	3631
1	1869

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3631	66.0%
1	1869	34.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3631	66.0%
1	1869	34.0%

Most occurring characters

Value	Count	Frequency (%)
0	3631	66.0%
1	1869	34.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3631	66.0%
1	1869	34.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3631	66.0%
1	1869	34.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3631	66.0%
1	1869	34.0%

phone_mobile_valid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	4774
0	726

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	4774	86.8%
0	726	13.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	4774	86.8%
0	726	13.2%

Most occurring characters

Value	Count	Frequency (%)
1	4774	86.8%
0	726	13.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4774	86.8%
0	726	13.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4774	86.8%
0	726	13.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4774	86.8%
0	726	13.2%

bank_months_count
Real number (ℝ)

Distinct	28
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.654545

Minimum	-1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	1756
Negative (%)	31.9%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	2
Q3	25
95-th percentile	30
Maximum	31
Range	32
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	12.558455
Coefficient of variation (CV)	1.1786946
Kurtosis	-1.4791053
Mean	10.654545
Median Absolute Deviation (MAD)	3
Skewness	0.50735103
Sum	58600
Variance	157.71479
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
-1	1756	31.9%
1	869	15.8%
28	428	7.8%
30	399	7.3%
15	270	4.9%
25	264	4.8%
31	257	4.7%
10	167	3.0%
2	163	3.0%
20	143	2.6%
Other values (18)	784	14.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	1756	31.9%
1	869	15.8%
2	163	3.0%
3	31	0.6%
4	19	0.3%
5	125	2.3%
6	71	1.3%
9	35	0.6%
10	167	3.0%
11	97	1.8%

Value	Count	Frequency (%)
31	257	4.7%
30	399	7.3%
29	41	0.7%
28	428	7.8%
27	48	0.9%
26	97	1.8%
25	264	4.8%
24	19	0.3%
22	18	0.3%
21	102	1.9%

has_other_cards
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	4675
1	825

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4675	85.0%
1	825	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4675	85.0%
1	825	15.0%

Most occurring characters

Value	Count	Frequency (%)
0	4675	85.0%
1	825	15.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4675	85.0%
1	825	15.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4675	85.0%
1	825	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4675	85.0%
1	825	15.0%

proposed_credit_limit
Real number (ℝ)

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	675.24545

Minimum	200
Maximum	2000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	200
5-th percentile	200
Q1	200
median	200
Q3	1500
95-th percentile	1500
Maximum	2000
Range	1800
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	592.83664
Coefficient of variation (CV)	0.87795724
Kurtosis	-0.90572939
Mean	675.24545
Median Absolute Deviation (MAD)	0
Skewness	0.80987137
Sum	3713850
Variance	351455.28
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
200	2798	50.9%
1500	1180	21.5%
500	722	13.1%
1000	468	8.5%
2000	217	3.9%
990	56	1.0%
510	26	0.5%
1900	26	0.5%
490	6	0.1%
210	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
200	2798	50.9%
210	1	< 0.1%
490	6	0.1%
500	722	13.1%
510	26	0.5%
990	56	1.0%
1000	468	8.5%
1500	1180	21.5%
1900	26	0.5%
2000	217	3.9%

Value	Count	Frequency (%)
2000	217	3.9%
1900	26	0.5%
1500	1180	21.5%
1000	468	8.5%
990	56	1.0%
510	26	0.5%
500	722	13.1%
490	6	0.1%
210	1	< 0.1%
200	2798	50.9%

foreign_request
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	5292
1	208

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5292	96.2%
1	208	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5292	96.2%
1	208	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	5292	96.2%
1	208	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5292	96.2%
1	208	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5292	96.2%
1	208	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5292	96.2%
1	208	3.8%

source
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	5452
1	48

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5452	99.1%
1	48	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5452	99.1%
1	48	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	5452	99.1%
1	48	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5452	99.1%
1	48	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5452	99.1%
1	48	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5452	99.1%
1	48	0.9%

session_length_in_minutes
Real number (ℝ)

Distinct	5489
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.9746752

Minimum	-1
Maximum	76.362406
Zeros	0
Zeros (%)	0.0%
Negative	12
Negative (%)	0.2%
Memory size	85.9 KiB

Quantile statistics

Minimum	-1
5-th percentile	1.3324554
Q1	3.2253358
median	5.0765253
Q3	8.7958365
95-th percentile	25.614058
Maximum	76.362406
Range	77.362406
Interquartile range (IQR)	5.5705007

Descriptive statistics

Standard deviation	9.0229966
Coefficient of variation (CV)	1.1314563
Kurtosis	11.869599
Mean	7.9746752
Median Absolute Deviation (MAD)	2.3886105
Skewness	3.126887
Sum	43860.713
Variance	81.414468
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	12	0.2%
7.411498314	1	< 0.1%
3.275862427	1	< 0.1%
8.684210979	1	< 0.1%
5.036845712	1	< 0.1%
22.84562709	1	< 0.1%
7.172830282	1	< 0.1%
4.053199687	1	< 0.1%
4.883144216	1	< 0.1%
3.845947956	1	< 0.1%
Other values (5479)	5479	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	12	0.2%
0.1325048248	1	< 0.1%
0.2202849859	1	< 0.1%
0.2548482044	1	< 0.1%
0.3140666018	1	< 0.1%
0.3457528061	1	< 0.1%
0.3538600906	1	< 0.1%
0.4043373105	1	< 0.1%
0.4088647214	1	< 0.1%
0.4194866812	1	< 0.1%

Value	Count	Frequency (%)
76.36240586	1	< 0.1%
72.72224212	1	< 0.1%
69.40569088	1	< 0.1%
68.09678888	1	< 0.1%
67.37160605	1	< 0.1%
67.03353514	1	< 0.1%
65.77706913	1	< 0.1%
64.96949928	1	< 0.1%
64.60134564	1	< 0.1%
63.62165289	1	< 0.1%

device_os
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

3	2303
2	1457
0	1327
1	365
4	48

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	3
3rd row	3
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
3	2303	41.9%
2	1457	26.5%
0	1327	24.1%
1	365	6.6%
4	48	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2303	41.9%
2	1457	26.5%
0	1327	24.1%
1	365	6.6%
4	48	0.9%

Most occurring characters

Value	Count	Frequency (%)
3	2303	41.9%
2	1457	26.5%
0	1327	24.1%
1	365	6.6%
4	48	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2303	41.9%
2	1457	26.5%
0	1327	24.1%
1	365	6.6%
4	48	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2303	41.9%
2	1457	26.5%
0	1327	24.1%
1	365	6.6%
4	48	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2303	41.9%
2	1457	26.5%
0	1327	24.1%
1	365	6.6%
4	48	0.9%

keep_alive_session
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	2931
1	2569

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2931	53.3%
1	2569	46.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2931	53.3%
1	2569	46.7%

Most occurring characters

Value	Count	Frequency (%)
0	2931	53.3%
1	2569	46.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2931	53.3%
1	2569	46.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2931	53.3%
1	2569	46.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2931	53.3%
1	2569	46.7%

device_distinct_emails_8w
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

1	5134
2	313
0	52
-1	1

Length

Max length	2
Median length	1
Mean length	1.0001818
Min length	1

Characters and Unicode

Total characters	5501
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5134	93.3%
2	313	5.7%
0	52	0.9%
-1	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5135	93.4%
2	313	5.7%
0	52	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	5135	93.3%
2	313	5.7%
0	52	0.9%
-	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	> 99.9%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5135	93.4%
2	313	5.7%
0	52	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5501	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5135	93.3%
2	313	5.7%
0	52	0.9%
-	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5501	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5135	93.3%
2	313	5.7%
0	52	0.9%
-	1	< 0.1%

device_fraud_count
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.9 KiB

0	5500

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5500
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5500	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5500	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5500	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5500	100.0%

month
Real number (ℝ)

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4230909

Minimum	0
Maximum	7
Zeros	734
Zeros (%)	13.3%
Negative	0
Negative (%)	0.0%
Memory size	85.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.273309
Coefficient of variation (CV)	0.66411002
Kurtosis	-1.2050631
Mean	3.4230909
Median Absolute Deviation (MAD)	2
Skewness	0.029229699
Sum	18827
Variance	5.1679337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	771	14.0%
0	734	13.3%
4	701	12.7%
1	680	12.4%
6	665	12.1%
5	664	12.1%
2	655	11.9%
7	630	11.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	734	13.3%
1	680	12.4%
2	655	11.9%
3	771	14.0%
4	701	12.7%
5	664	12.1%
6	665	12.1%
7	630	11.5%

Value	Count	Frequency (%)
7	630	11.5%
6	665	12.1%
5	664	12.1%
4	701	12.7%
3	771	14.0%
2	655	11.9%
1	680	12.4%
0	734	13.3%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	fraud_bool	income	name_email_similarity	prev_address_months_count	current_address_months_count	customer_age	days_since_request	intended_balcon_amount	payment_type	zip_count_4w	velocity_6h	velocity_24h	velocity_4w	bank_branch_count_8w	date_of_birth_distinct_emails_4w	employment_status	credit_risk_score	email_is_free	housing_status	phone_home_valid	phone_mobile_valid	bank_months_count	has_other_cards	proposed_credit_limit	foreign_request	session_length_in_minutes	device_os	keep_alive_session	device_distinct_emails_8w	month
2480	1	0.6	0.113599	-1	54	30	0.015598	-1.546016	3	816	12185.504781	6087.249578	5990.732491	16	5	5	21	0	1	1	1	1	0	200.0	1	7.411498	0	0	1	0
5606	1	0.8	0.479826	-1	198	50	0.027031	-0.930262	3	907	7417.879725	5875.275308	5420.218183	6	7	0	196	1	0	0	1	15	0	1500.0	0	33.178273	3	0	1	1
2826	0	0.1	0.128738	-1	115	50	0.031019	-0.724596	1	998	6907.861104	5759.145648	4777.074151	10	3	0	45	1	1	0	1	30	0	200.0	0	2.258043	3	1	1	3
6106	0	0.7	0.367906	31	18	20	1.326119	-1.802038	2	1590	6730.820667	4624.681322	4194.811029	1	13	1	139	1	2	0	1	-1	0	200.0	0	7.227595	2	0	1	5
5586	0	0.1	0.479825	56	7	20	0.015002	-0.957448	2	1676	1886.345382	2324.158405	3065.045734	1	9	0	223	1	4	0	1	-1	0	1500.0	0	10.947517	2	0	1	7
9326	0	0.9	0.453888	-1	20	40	0.018358	48.588762	0	2453	839.590889	3998.518293	4039.276879	12	7	0	129	1	3	0	1	21	0	500.0	0	7.663897	3	0	1	6
6124	1	0.9	0.603019	-1	99	40	0.002533	-1.259496	1	1459	3416.788920	5000.644383	4240.388517	234	11	1	156	0	0	0	1	28	0	200.0	0	8.977586	3	0	1	5
2626	0	0.4	0.431526	162	4	30	0.008287	-1.030496	2	3890	6470.549076	4844.908563	5132.771195	0	11	0	103	1	1	0	1	-1	0	200.0	0	34.086245	0	1	1	2
9566	0	0.3	0.239957	-1	89	30	0.016323	-1.374336	2	2749	12927.814584	5197.751444	5491.967245	1	8	0	135	0	1	0	1	-1	1	500.0	0	5.004473	2	1	1	1
3493	0	0.7	0.821453	-1	84	30	0.019228	-0.330507	3	785	9285.322951	7158.569849	5694.946121	9	9	0	240	0	2	0	1	6	0	1500.0	0	4.238245	3	1	1	1

	fraud_bool	income	name_email_similarity	prev_address_months_count	current_address_months_count	customer_age	days_since_request	intended_balcon_amount	payment_type	zip_count_4w	velocity_6h	velocity_24h	velocity_4w	bank_branch_count_8w	date_of_birth_distinct_emails_4w	employment_status	credit_risk_score	email_is_free	housing_status	phone_home_valid	phone_mobile_valid	bank_months_count	has_other_cards	proposed_credit_limit	source	session_length_in_minutes	device_os	keep_alive_session	device_distinct_emails_8w	month
1840	1	0.8	0.181918	-1	285	40	0.007684	-0.310258	0	2172	7226.129834	6203.913290	5000.480429	1	8	0	133	1	0	0	1	10	0	500.0	0	9.474141	3	0	1	3
99	0	0.1	0.922070	-1	250	20	0.011080	49.354944	0	1670	10643.493487	4581.640190	5637.164902	13	8	0	187	0	4	0	1	20	0	1500.0	0	3.771386	3	0	1	2
6315	1	0.7	0.214435	-1	46	40	0.019335	-0.959823	2	1392	5939.017949	3943.929000	5031.454307	0	4	1	121	0	2	1	0	-1	0	200.0	0	4.125322	3	1	1	4
6674	1	0.4	0.120331	-1	100	40	3.354596	-1.006149	2	761	5170.168915	5586.476259	4257.573145	1	9	0	249	1	0	1	1	-1	0	1500.0	1	-1.000000	2	0	1	5
803	1	0.8	0.551622	-1	167	50	0.000003	-1.012498	2	3144	7677.641242	5167.639107	5429.072190	1	6	0	163	0	1	0	1	-1	0	1500.0	0	7.856988	3	0	2	1
3205	0	0.9	0.617591	-1	376	50	0.016545	-0.775423	2	2642	6695.166522	5363.758907	5037.808791	1	6	1	234	0	0	0	1	-1	1	1500.0	0	2.859193	1	0	1	3
4164	0	0.5	0.443441	-1	189	50	0.001693	49.882065	0	2029	7776.607688	6518.669535	5212.095567	26	8	1	148	0	1	1	1	26	1	500.0	0	1.919193	0	0	1	2
4567	1	0.4	0.214503	-1	53	50	0.026847	-1.705240	1	1392	6566.232170	5653.902372	4467.886122	19	7	0	117	0	1	0	1	19	0	200.0	0	29.320643	3	0	1	4
8259	1	0.6	0.372818	-1	182	40	0.008574	49.574227	0	1258	6578.255860	5456.108904	4811.608833	695	7	0	316	1	2	0	1	11	0	1500.0	0	21.999550	3	0	1	3
9923	1	0.9	0.137046	-1	10	20	0.019860	-0.852978	1	777	1023.360406	2638.285765	4262.388952	15	5	0	145	1	0	0	1	26	0	1500.0	0	1.266111	3	0	1	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII